I am trying to fetch data from data base in below format,
Month Count
----- -----
201208 124
201209 0
201210 56
201211 25
201212 0
201301 184
201302 0
In database I have entries like,
Month Count
----- -----
201206 56
201208 124
201210 56
201211 25
201301 184
201304 49
Below is my query,
SELECT MONTH, Count
FROM TABLE_NAME
WHERE MONTH BETWEEN 201208 AND 201302
AND ID = 'X'
Output :
Month Count
----- -----
201208 124
201210 56
201211 25
201301 184
Can anyone help me getting data in desired format.
First you should generate full month's sequence between these dates. You can do it with CONNECT BY LEVEL in Oracle. then just JOIN this sequence with your table:
SELECT MonthSeq.MONTH,
NVL(Count,0) Count
FROM TABLE_NAME
RIGHT JOIN
(
SELECT
TO_CHAR(ADD_MONTHS(TO_DATE('201208','YYYYMM'),
(ROWNUM-1))
,'YYYYMM') MONTH
FROM DUAL
CONNECT BY LEVEL<=
MONTHS_BETWEEN(TO_DATE('201302','YYYYMM') ,
TO_DATE('201208','YYYYMM'))+1
) MonthSeq
ON TABLE_NAME.MONTH=MonthSeq.MONTH
ORDER BY MonthSeq.MONTH
SQLFiddle demo
UPD:
Your query from the comment should looks like the following. You should move WHERE condition to the JOIN ON. If you use it in WHERE you don't get rows with zero counts.
SELECT MonthSeq.MONTH,
NVL(SUM(TOTAL_SESSIONS),0) AS SESSIONS
FROM X
RIGHT JOIN
(
SELECT
TO_CHAR(ADD_MONTHS(TO_DATE('201208','YYYYMM'),
(ROWNUM-1))
,'YYYYMM') MONTH
FROM DUAL
CONNECT BY LEVEL<=
MONTHS_BETWEEN(TO_DATE('201302','YYYYMM') ,
TO_DATE('201208','YYYYMM'))+1
) MonthSeq
ON X.MONTH=MonthSeq.MONTH and X.acct_id = 'ABCD'
ORDER BY MonthSeq.MONTH
You need to use TO_DATE function to convert the month field to DATE format. Refer here for more in detail. Try like this,
SELECT TO_CHAR(TO_DATE(MONTH, 'YYYYMM'), 'YYYYMM') month, count
FROM TABLE_NAME
WHERE month BETWEEN TO_DATE('201208', 'YYYYMM') AND TO_DATE('201302', 'YYYYMM')
AND id = 'X'
ORDER BY TO_DATE(month, 'YYYYMM');
Related
I am using PostgreSQL and I am trying to calculate the percentage change for two values in the same column and group them by the name column and I am having trouble.
Suppose I have the following table:
name
day
score
Allen
1
87
Allen
2
89
Allen
3
95
Bob
1
64
Bob
2
68
Bob
3
75
Carl
1
71
Carl
2
77
Carl
3
80
I want the result to be the name and the percentage change for each person between day 3 and day 1. So Allen would be 9.2 because from 87 to 95 is a 9.2 percent increase.
I want the result to be:
name
percent_change
Allen
9.2
Bob
17.2
Carl
12.7
Thanks for your help.
Try this...
with dummy_table as (
select
name,
day,
score as first_day_score,
lag(score, 2) over (partition by name order by day desc) as last_day_score
from YOUR_TABLE_NAME
)
select
name,
(last_day_score - first_day_score) / first_day_score::decimal as percentage_change
from dummy_table where last_day_score is not null
Just replace YOUR_TABLE_NAME. There are likely more performant and fancier solutions, but this works.
You can try with lag function, something like this:
select name, day, score, 100*(score - lag(score, 1) over (partition by name order by day))/(lag(score, 1) over (partition by name order by day)) as growth_percentage
I have a large SQL statements(PostgreSQL version 11) with many CTE's, i want to use the results from an intermediary CTE to create a PIVOTed set of results and join it with other CTE.
Below is a small part of my query and the CTE "previous_months_actual_sales" is the one i need to PIVOT.
,last_24 as
(
SELECT l_24m::DATE + (interval '1' month * generate_series(0,24)) as last_24m
FROM last_24_month_start LIMIT 24
)
,previous_months_actual_sales as
(
SELECT TO_CHAR(created_at,'YYYY-MM') as dates
,b.code,SUM(quantity) as qty
FROM base b
INNER JOIN products_sold ps ON ps.code=b.code
WHERE TO_CHAR(created_at,'YYYY-MM')
IN(SELECT TO_CHAR(last_24m,'YYYY-MM') FROM last_24)
GROUP BY b.code,TO_CHAR(created_at,'YYYY-MM')
)
SELECT * FROM previous_months_actual_sales
The results of this CTE "previous_months_actual_sales" is shown below,
dates code qty
"2018-04" "0009" 23
"2018-05" "0009" 77
"2018-06" "0008" 44
"2018-07" "0008" 1
"2018-08" "0009" 89
The expected output based on the above result is,
code. 2018-04. 2018-05. 2018-06. 2018-07. 2018-08
"0009". 23 77 89
"0008". 44 1
Is there a way to achieve this?
I have a table that has data of user_id and the timestamp they joined.
If I need to display the data month-wise I could just use:
select
count(user_id),
date_trunc('month',(to_timestamp(users.timestamp))::timestamp)::date
from
users
group by 2
The date_trunc code allows to use 'second', 'day', 'week' etc. Hence I could get data grouped by such periods.
How do I get data grouped by "n-day" period say 45 days ?
Basically I need to display number users per 45 day period.
Any suggestion or guidance appreciated!
Currently I get:
Date Users
2015-03-01 47
2015-04-01 72
2015-05-01 123
2015-06-01 132
2015-07-01 136
2015-08-01 166
2015-09-01 129
2015-10-01 189
I would like the data to come in 45 days interval. Something like :-
Date Users
2015-03-01 85
2015-04-15 157
2015-05-30 192
2015-07-14 229
2015-08-28 210
2015-10-12 294
UPDATE:
I used the following to get the output, but one problem remains. I'm getting values that are offset.
with
new_window as (
select
generate_series as cohort
, lag(generate_series, 1) over () as cohort_lag
from
(
select
*
from
generate_series('2015-03-01'::date, '2016-01-01', '45 day')
)
t
)
select
--cohort
cohort_lag -- This worked. !!!
, count(*)
from
new_window
join users on
user_timestamp <= cohort
and user_timestamp > cohort_lag
group by 1
order by 1
But the output I am getting is:
Date Users
2015-04-15 85
2015-05-30 157
2015-07-14 193
2015-08-28 225
2015-10-12 210
Basically The users displayed at 2015-03-01 should be the users between 2015-03-01 and 2015-04-15 and so on.
But I seem to be getting values of users upto a date. ie: upto 2015-04-15 users 85. which is not the results I want.
Any help here ?
Try this query :
SELECT to_char(i::date,'YYYY-MM-DD') as date, 0 as users
FROM generate_series('2015-03-01', '2015-11-30','45 day'::interval) as i;
OUTPUT :
date users
2015-03-01 0
2015-04-15 0
2015-05-30 0
2015-07-14 0
2015-08-28 0
2015-10-12 0
2015-11-26 0
This looks like a hot mess, and it might be better wrapped in a function where you could use some variables, but would something like this work?
with number_of_intervals as (
select
min (timestamp)::date as first_date,
ceiling (extract (days from max (timestamp) - min (timestamp)) / 45)::int as num
from users
),
intervals as (
select
generate_series(0, num - 1, 1) int_start,
generate_series(1, num, 1) int_end
from number_of_intervals
),
date_spans as (
select
n.first_date + 45 * i.int_start as interval_start,
n.first_date + 45 * i.int_end as interval_end
from
number_of_intervals n
cross join intervals i
)
select
d.interval_start, count (*) as user_count
from
users u
join date_spans d on
u.timestamp >= d.interval_start and
u.timestamp < d.interval_end
group by
d.interval_start
order by
d.interval_start
With this sample data:
User Id timestamp derived range count
1 3/1/2015 3/1-4/15
2 3/26/2015 "
3 4/4/2015 "
4 4/6/2015 " (4)
5 5/6/2015 4/16-5/30
6 5/19/2015 " (2)
7 6/16/2015 5/31-7/14
8 6/27/2015 "
9 7/9/2015 " (3)
10 7/15/2015 7/15-8/28
11 8/8/2015 "
12 8/9/2015 "
13 8/22/2015 "
14 8/27/2015 " (5)
Here is the output:
2015-03-01 4
2015-04-15 2
2015-05-30 3
2015-07-14 5
Assuming data such as the following:
ID EffDate Rate
1 12/12/2011 100
1 01/01/2012 110
1 02/01/2012 120
2 01/01/2012 40
2 02/01/2012 50
3 01/01/2012 25
3 03/01/2012 30
3 05/01/2012 35
How would I find the rate for ID 2 as of 1/15/2012?
Or, the rate for ID 1 for 1/15/2012?
In other words, how do I do a query that finds the correct rate when the date falls between the EffDate for two records? (Rate should be for the date prior to the selected date).
Thanks,
John
How about this:
SELECT Rate
FROM Table1
WHERE ID = 1 AND EffDate = (
SELECT MAX(EffDate)
FROM Table1
WHERE ID = 1 AND EffDate <= '2012-15-01');
Here's an SQL Fiddle to play with. I assume here that 'ID/EffDate' pair is unique for all table (at least the opposite doesn't make sense).
SELECT TOP 1 Rate FROM the_table
WHERE ID=whatever AND EffDate <='whatever'
ORDER BY EffDate DESC
if I read you right.
(edited to suit my idea of ms-sql which I have no idea about).
I need help writing a T-SQL query that will generate 52 rows of data per franchise from a table that will often contain gaps in the 52 week sequence per franchise (i.e., the franchise may have reported data bi-weekly or has not been in business for a full year).
The table I'm querying against looks something like this:
FranchiseId | Date | ContractHours | PrivateHours
and I need to join it to a table similar to this:
FranchiseId | Name
The output of the query needs to look like this:
Name | Date | ContractHours | PrivateHours
---- ---------- ------------- ------------
AZ1 08-02-2011 292 897
AZ1 07-26-2011 0 0 -- default to 0's for gaps in sequence
...
AZ1 08-03-2010 45 125 -- row 52 for AZ1
AZ2 08-02-2011 382 239
...
AZ2 07-26-2011 0 0 -- row 52 for AZ2
I need this style of output for every franchise, i.e., 52 rows of data with default rows for any gaps in the 52 week sequence, in a single result set. Thus, if there are 100 franchises, the result set should be 5200 rows.
What I've Tried
I've tried the typical suggestions of:
Create a table with all possible dates
LEFT OUTER JOIN this to the table of data needed
The problems I'm running into are
ensuring that for every franchise their are 52 rows and
filling in gaps with the franchise name and 0 for hours, I can't
have the following in the result set:
Name | Date | ContractHours | PrivateHours
---- ---------- ------------- ------------
NULL 08-02-2011 NULL NULL
I don't know where to go from here? Is there an efficient way to write a T-SQL query that will produce the required output?
The bare bones is this
Generate 52 week ranges
Cross join with Franchise
LEFT JOIN the actual date
ISNULL to substitute zeroes
So, like this, untested
;WITH cDATE AS
(
SELECT
CAST('20100101' AS date /*smalldatetime*/) AS StartOfWeek,
CAST('20100101' AS date /*smalldatetime*/) + 6 AS EndOfWeek
UNION ALL
SELECT StartOfWeek + 7, EndOfWeek + 7
FROM cDATE WHERE StartOfWeek + 7 < '20110101'
), Possibles AS
(
SELECT
StartOfWeek, FranchiseID
FROM
cDATE CROSS JOIN Franchise
)
SELECT
P.FranchiseID,
P.StartOfWeek,
ISNULL(SUM(O.ContractHours), 0),
ISNULL(SUM(O.PrivateHours), 0)
FROM
Possibles P
LEFT JOIN
TheOtherTable O ON P.FranchiseID = O.FranchiseID AND
O.Date BETWEEN P.StartOfWeek AND P.EndOfWeek
GROUP BY
P.FranchiseID